Remove Business Objectives Remove Cost-Benefit Remove IoT Remove Modeling
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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy. What is data modeling?

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

“Everyone is running around trying to apply this technology that’s moving so fast, but without business outcomes, there’s no point to it,” says Redmond, CIO at power management systems manufacturer Eaton Corp. “We We need to continue to be mindful of business outcomes and apply use cases that make sense.”

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The advantages and disadvantages of hybrid cloud

IBM Big Data Hub

Just like any other IT solution, adopting a successful hybrid cloud strategy starts with examining how this cloud computing architecture can drive overall business objectives. As an initial step, business and IT leaders need to review the advantages and disadvantages of hybrid cloud adoption to reap its benefits.

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How to build a successful hybrid cloud strategy

IBM Big Data Hub

To capture the most value from hybrid cloud, business and IT leaders must develop a solid hybrid cloud strategy supporting their core business objectives. The hybrid multicloud model Today most enterprise businesses rely on a hybrid multicloud environment.

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5 recommendations to get your data strategy right

IBM Big Data Hub

There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The business areas need more value, faster — it’s a fact that the multi-everything landscape has triggered a more demanding world.

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Navigating Cloud Complexities with Partnerships

CIO Business Intelligence

It opens not just cloud-native technologies such as containerization, which are empowering organizations to move to more agile delivery models critical in today’s highly competitive app-centric landscape, but also enables cutting-edge innovations from 5G to AI and IoT. The essential enablers to realizing your cloud aspirations.

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Migrate and modernize IBM Maximo with AWS and Red Hat

IBM Big Data Hub

It is an enterprise cloud-based asset management platform that leverages artificial intelligence (AI) , the Internet of Things (IoT) and analytics to help optimize equipment performance, extend asset lifecycles and reduce operational downtime and costs. However, there are a few additional requirements to consider.